IEEE Systems, Man and Cybernetics Magazine - October 2021 - 3

perspective (convolutional neural
networks) and the methods from
the neurophysiological perspective.
Experiments conducted on a public
EEG data set of working memory
tests clearly demonstrate the potential
alignment of the regions of interest
from different discipline methods.
During experiments, the EEG topography
is generated from the frequency
data by interpolation and extrapolation
according to the coordinates of
the electrode placement. This evidence
strongly supports the idea of
using deep neural networks to confidently
process EEG signals.
The final article in this issue is
" An Intelligent Experience Retention
System. " It presents an intelligent experience
retention system for the operation
and maintenance of nuclear
power plants. The motivation behind
its design is to overcome the challenges
and limitations of capturing
human experience related to operating
procedures for plant operation
and maintenance. The proposed intelligent
framework can learn from
document, text, or voice inputs and is
able to reliably and precisely answer
the related questions. It uses a knowledge
structure for capturing and presenting
the human experience.
About the Author
Saeid Nahavandi (saeid.nahavandi@
deakin.edu.au) earned his Ph.D.
degree from Durham University in
1991. He is an Alfred Deakin professor,
pro-vice-chancellor, chair of
engineering, and the founding director
for the Institute for Intelligent
Systems Research and Innovation at
Deakin University, Victoria, 3216,
Australia. His research interests
include the modeling of complex
systems, robotics, and haptics. He
has published more than 950 scientific
papers in various international
journals and conferences. He is a fellow
of Engineers Australia, the Institution
of Engineering and Technology,
and the Australian Academy of
Technological Sciences and Engineering.
He is a leading authority on
haptically enabled robotics and a
Fellow of IEEE.
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IEEE Systems, Man and Cybernetics Magazine - October 2021

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IEEE Systems, Man and Cybernetics Magazine - October 2021 - Cover1
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IEEE Systems, Man and Cybernetics Magazine - October 2021 - Contents
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IEEE Systems, Man and Cybernetics Magazine - October 2021 - Cover3
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